roop-unleashed - Cross-Platform Deepfake Image and Video Processing with Intuitive GUI

Introduction to the Roop-Unleashed Project

The Roop-Unleashed project offers a groundbreaking approach to creating deepfakes for both images and videos. What distinguishes this project is its ease of use—no complex training is required to get started. Moreover, it includes a user-friendly graphical interface, which makes the process accessible to a wider audience than ever before.

Key Features

User Interface and Functionality:

Browser-Based GUI: The project features a platform-independent graphical user interface that operates within a browser. This ensures that users on various systems can easily access and use the tool.
Multi-Face Selection: Users can select multiple input and output faces at once, offering a versatile face swapping experience.
Swapping Modes: The tool supports several different face swapping modes including automatic first detected swaps, selections based on specific criteria, and swaps by gender.
Batch Processing: Roop-Unleashed can process multiple images or videos in a batch, saving time and effort.
Face Occlusion Masking: Faces that are partially obstructed can be dealt with using text prompts or automatically, improving the quality of deepfakes.
Face Upscaling/Restoration: Optional enhancers can be used to upscale and restore face images for better results.
Live Preview: The application allows users to preview swaps from different video frames in real time.
Live Fake Cam: A cutting-edge feature that uses your webcam to create live deepfake videos.

Additional Functionalities:

Extras Tab: Offers features like video cutting that provide users with more control over their media content.
Settings Storage: Configuration settings can be saved for future sessions, enhancing user convenience.
Theme Support: Users can customize the interface theme according to their preferences.

Caution and Ethics

It's important to note that the project is intended for academic and technical use only. Users are expected to adhere to local laws and ethical standards, obtaining consent if using the image of a real person. The developers disclaim responsibility for any misuse of the software.

Installation

The installation is straightforward and varies based on the operating system being used. Specific scripts are available for macOS, Windows, and Linux, ensuring that all dependencies are checked and installed. For more information, users are directed to the project's wiki page.

Running the Application

Windows: Execute the windows_run.bat file.
Linux: Run python run.py.
macOS: Use sh runMacOS.sh.
Docker: Users can build and run Roop-Unleashed via Docker using the provided Dockerfile.

Upon first execution, the application will automatically download necessary models, which are approximately 2 GB in size.

Recent Updates

The project is actively maintained, with numerous bug fixes and feature enhancements regularly added. Recent updates have introduced new features like different output modes to virtual cam stream, improved UI settings, enhanced video processing capabilities, and support for additional image formats.

Acknowledgements

Roop-Unleashed builds upon various open-source projects and contributions from the developer community, incorporating ideas and models from projects such as InsightFace, Rope, and GFPGAN, among others.

Thanks to the collaborative efforts of developers, Roop-Unleashed continues to evolve, offering impressive features and performance to its users.